Develop data models, dashboards, and reports to measure marketing campaign performance, lead conversion, and ROI.
Partner with marketing operations and sales teams to define KPIs and improve lead scoring, funnel health, and attribution models.
Design and implement experiments (A/B testing, multivariate testing) to guide marketing optimization.
Analyzes marketing data to identify trends, opportunities and risks.
Build predictive models for lead scoring, churn prediction, segmentation, and customer lifetime value.
Apply machine learning techniques to identify patterns and improve targeting, personalization, and engagement.
Develop forecasting models for pipeline contribution and campaign performance.
Work with data engineering and system admins to ensure high-quality data across Salesforce, Account Engagement, and other marketing systems.
Establish data hygiene and enrichment processes to improve segmentation and targeting accuracy.
Contribute to data governance best practices and compliance with privacy regulations.
Partner with Marketing Operations team to embed analytics into campaign planning and reporting.
Collaborate with Sales Operations to align marketing insights with pipeline and revenue goals.
Present insights and recommendations to leadership in a clear, actionable format.

Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Marketing Analytics, or related field.
3+ years of experience in data science, marketing analytics, or related field.
Experience with B2B and/or multi-brand marketing environments.
Excellent communication skills with ability to explain complex data insights to business stakeholders.

Data Scientist – Marketing Operations

Key skills